Molecular autism · 2026
From cognitive abstraction to adaptive behavior: neural bases of concept learning in autistic adolescents.
СтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Chen Yijun, Hawkins Brylee, Puckett Hannah, Sharp Kat, Lopez Andrea, Zeithamova Dagmar, Xie Hua, Verbalis Alyssa, VanMeter Ashley S, Gaillard William D, Kenworthy Lauren, Vaidya Chandan J
Аннотация
BACKGROUND: Learned knowledge does not consistently generalize to new contexts in autistic individuals, limiting potential for adapting to real-world demands. This challenge is hypothesized to stem from difficulties with forming abstract representations, potentially arising from perceptual processing that favors local details over the gestalt. We tested the prediction that generalization would be primarily based on exemplar-specific representations in autistic youth using computational modelling coupled with neuroimaging.
METHODS: Sixty-four autistic adolescents without intellectual disability (69% males; ages 14-18 years) completed a category generalization task during functional magnetic resonance imaging at two time points. Computational models estimated abstract (prototype-based) and specific (exemplar-based) representations and underlying neural correlates. We further examined associations with adaptive functioning and moderation by autistic traits.
RESULTS: Contrary to predictions, we observed a consistent prototype-dominant majority, a subgroup who generalized without consistent representational reliance, and a small minority who failed to acquire category structure. Neural prototype correlates were observed in bilateral ventromedial prefrontal cortex (VMPFC), inferior parietal lobule (IPL), right frontal pole, and right lateral occipital cortex, while neural exemplar correlates were observed in bilateral cuneus. Better generalization predicted better real-world adaptive functioning. Moreover, greater prototype-related activation in left IPL predicted better adaptive functioning in participants with higher autistic traits.
LIMITATIONS: Generalizability is limited to autistic adolescents without intellectual disability as the design did not include typically developing youth.
CONCLUSIONS: These findings challenge the prevailing view that concept learning in autism relies primarily on hyper-specific perceptual processing, identify meaningful variability in representational strategies, and reveal neural pathways through which abstract representation may support real-world adaptive behavior. These findings set the foundation for exploring abstract representation as an intervention target in autism.
METHODS: Sixty-four autistic adolescents without intellectual disability (69% males; ages 14-18 years) completed a category generalization task during functional magnetic resonance imaging at two time points. Computational models estimated abstract (prototype-based) and specific (exemplar-based) representations and underlying neural correlates. We further examined associations with adaptive functioning and moderation by autistic traits.
RESULTS: Contrary to predictions, we observed a consistent prototype-dominant majority, a subgroup who generalized without consistent representational reliance, and a small minority who failed to acquire category structure. Neural prototype correlates were observed in bilateral ventromedial prefrontal cortex (VMPFC), inferior parietal lobule (IPL), right frontal pole, and right lateral occipital cortex, while neural exemplar correlates were observed in bilateral cuneus. Better generalization predicted better real-world adaptive functioning. Moreover, greater prototype-related activation in left IPL predicted better adaptive functioning in participants with higher autistic traits.
LIMITATIONS: Generalizability is limited to autistic adolescents without intellectual disability as the design did not include typically developing youth.
CONCLUSIONS: These findings challenge the prevailing view that concept learning in autism relies primarily on hyper-specific perceptual processing, identify meaningful variability in representational strategies, and reveal neural pathways through which abstract representation may support real-world adaptive behavior. These findings set the foundation for exploring abstract representation as an intervention target in autism.